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Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
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Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?

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Summary
This summary is machine-generated.

Implementing artificial intelligence (AI) in radiotherapy (RT) requires a collaborative strategy. This study developed and validated a format using implementation science to overcome barriers and enhance AI integration for improved patient care.

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Area of Science:

  • Radiotherapy
  • Artificial Intelligence
  • Implementation Science

Background:

  • Artificial intelligence (AI) integration in radiotherapy (RT) promises efficiency and quality improvements but faces limited adoption.
  • Implementation science offers a framework to address the challenges hindering AI adoption in clinical settings.

Purpose of the Study:

  • To apply an implementation science format to develop an AI strategy for a specific center.
  • To identify insights for enhancing AI implementation strategies.
  • To assess the feasibility and acceptability of this format for designing center-specific AI implementation plans.

Main Methods:

  • Developed an AI implementation strategy using stakeholder analysis, literature review, and interviews.
  • Conducted a workshop with seven Dutch RT centers to develop their AI implementation plans.
  • Evaluated the applicability, appropriateness, and feasibility of the developed format.

Main Results:

  • Identified key stakeholders and barriers (e.g., opacity, privacy, trust, multidisciplinary collaboration).
  • The workshop demonstrated high acceptability (90%), appropriateness (85%), and feasibility (75%) of the implementation strategy format.
  • Sixteen participants agreed the format was useful for designing AI implementation strategies.

Conclusions:

  • A collaborative, multidisciplinary approach is crucial for successful AI implementation in RT.
  • The developed format effectively addresses organizational challenges and facilitates AI integration for enhanced patient care.
  • The proposed methods are valuable for multiple RT centers seeking to implement AI.